Customer Success
Customer Success | Group RCI delivers your dream vacation using SAS® predictive analyticsGroup RCI, the worldwide leader in vacation exchange and the European leader in vacation rentals, has a unique business model. RCI runs a vacation exchange platform, for which members both supply and demand inventory, facilitated by RCI assigning appropriate value to property. The successful operating of this platform keeps members returning and exchanging vacations through RCI.
"RCI is hungry for data on members and inventory. The SAS environment harnesses this data for us to make decisions with more frequency than before, and this benefits members through fair and optimal inventory usage," says Sean Lowe, Senior Vice President of Revenue Management and Analytics. “In our rental business, we’re able to value time share, week level and even differentiate for currency, which gives us pricing records in the hundreds of thousands as opposed to the several thousand through the legacy system,” says Lowe. This exchange and pricing algorithm approach requires forecasting that accounts for complex data relying on both finite and intangible supply and demand factors. This customer retention secures the future of RCI. Lowe continues, “The superior matching and superior operation of the network from using SAS leads to returns in revenues.” Jeremy TerBush, Director of Analytics, agrees that matching is critical, saying, "If you don't make sure that members holding the scarce space get the best exchange, then you prejudice the ability to maintain future streams of the supply."
"SAS allows us to have the right information in front of the right people at the right time, driving business decisions and company success," TerBush says. The results illustrated in this article are specific to the particular situations, business models, data input, and computing environments described herein. Each SAS customer’s experience is unique based on business and technical variables and all statements must be considered non-typical. Actual savings, results, and performance characteristics will vary depending on individual customer configurations and conditions. SAS does not guarantee or represent that every customer will achieve similar results. The only warranties for SAS products and services are those that are set forth in the express warranty statements in the written agreement for such products and services. Nothing herein should be construed as constituting an additional warranty. Customers have shared their successes with SAS as part of an agreed-upon contractual exchange or project success summarization following a successful implementation of SAS software. Brand and product names are trademarks of their respective companies. Copyright © SAS Institute Inc. All Rights Reserved. |
Jeremy TerBush Director of Analytics Group RCIChallenge:
With tight margins in place, RCI needed a quick way to grow company revenue by maximizing vacation choices to members, targeting its customer base and more accurately valuing time-share inventory when delivering to rental channels. Solution:
Building on the SAS Business Analytics Framework with SAS® Enterprise Miner™, SAS Forecast Server and SAS Marketing Automation, RCI improved pricing structures, prediction of complex supply and demand and the ability to cross- and up-sell. Benefits:
Data integration and data quality initiatives have reduced errors and allowed analysts to spend more time making business decisions rather than managing data. “SAS allows us to have the right information in front of the right people at the right time, driving business decisions and company success.” Jeremy TerBush RCI Director of Analytics Read more:
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